Intern, Power Modeling
What You’ll Learn
- Project: Scalable high-performance computing R&D – power modeling
- Skills You’ll Learn
- System-on-chip architecture
- Micro-architecture
- Power modeling and analysis
What You’ll Do
- Analyze power consumption in various components of large scale HPC and AI systems
- Develop system-level architectural and micro-architectural level power models.
- Do workload specific energy analysis for HPC and AI applications, perform what-if analysis of energy and performance tradeoff for architectural study.
- Construct SOC-level and IP-level power models
- Develop scripts to facilitate power analysis and data processing for power-related SOC design flow
- Contribute to workload-specific power analysis at the SOC and IP levels for large-scale HPC and AI systems
- Complete other responsibilities as assigned.
Location: Hybrid, working onsite at our San Jose, CA headquarters 3 days per week, with the flexibility to work remotely the remainder of your time
What You Bring
- Senior level currently pursuing Bachelor’s degree or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
- Proficiency in Python programming from developing framework to building the full application
- Strong hands-on experience in SOC design, especially power design, modeling, and analysis.
- Experience in computer architecture and SoC design
- Strong technical writing and communication skills
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.